Bibliographic record
Abstract
The idea of political unity – or belonging – contains its own opposite, because a political community can never guarantee the equal status of all its members. The price of belonging is an entrenched social stratification and hierarchy within the political unit itself. Lived Fictions explores how the notion of political unity generates a collective commitment to imagining the structure of Canadian society. These political imaginaries – the citizen-state, the market economy, and so forth – are lived fictions. They orient our national identity and shape our understanding of political legitimacy, responsibility, and action. John Grant persuasively details why the project of political unity fails: it distorts our lived experiences and allows inequality and domination to take root. Canada promises unity through democratic politics, reconciliation with Indigenous peoples, a welfare state that protects the vulnerable, and a multicultural approach to cultural relations. This book documents the historical failure of these promises and elaborates the kinds of radical institutional and intellectual changes needed to overcome our lived fictions.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".